Prettier plugins

Enforces a structured software design workflow: define domain language, generate interface prototypes, plan refactors via interview, split plans into issues, and execute TDD with parallel code-review agents — all while documenting decisions in ADRs and a shared glossary.

Set up Ultracite multi-provider linting and formatting with Biome, ESLint, and Oxlint in JS/TS projects. Migrate ESLint/Prettier configs to biome.jsonc, validate setups via doctor checks, integrate Git hooks and AI/MCP tools, resolve monorepo and type-aware linting issues.

Automate full linting pipelines for Python projects: discover linters from pyproject.toml or package.json, format code with prettier, lint with ruff/mypy/bandit/eslint, resolve root causes via agents, and verify architecture post-fixes. Invoke /lint on files/directories or use in orchestrators for task completion.

Practice Specification-Driven Development (SDD) using GitHub Spec-Kit: initialize projects, create constitutions defining standards/processes, write feature specs/plans/tasks, analyze status/compliance/blockers, run quality gates checklists, clarify ambiguities, and implement tasks with Git status checks and interactive commits.

Enforce consistent JavaScript code formatting with Prettier configuration, editor and CI/CD integration, and custom plugin development or troubleshooting.

Run configurable code reviews with adjustable tone (harsh/constructive), enforce project standards via auto-generated Technical.md, and automate the full shipping workflow from review through PR creation and auto-merge. Includes live browser QA via Chrome for finding bugs, UX issues, and accessibility problems.

Generate standardized Claude Code components like subagents, slash commands, hooks, skills, plugins, output styles, and project docs using dedicated slash commands that analyze context, apply templates, validate inputs, and organize files.

Run an adversarial multi-agent pipeline that audits, evaluates, and remediates codebases using GAN-style loops: generators produce artifacts, discriminators validate them, and feedback drives convergence across documentation, technical debt, code quality, and production readiness.

Break large projects into spec-driven phases and 2-4 hour sessions of 12-25 tasks for AI-assisted development. Plan sessions, implement/validate tasks, audit tooling/CI/infra/Docker, manage git/docs/security, and carry forward insights across phases.

Run comprehensive code quality and security audits for Drupal and Next.js projects, including static analysis, linting, test coverage, SOLID/DRY checks, and multi-layer security scanning with Semgrep, Trivy, and Gitleaks. Auto-detects project type, generates prioritized reports, and supports TDD workflows.

Build and extend FastMCP MCP servers in TypeScript through interactive code generation for custom tools with Zod schemas, static resources, authentication setups including API keys and OAuth, plus patterns for logging, streaming, and merge-friendly import sorting to cut Git conflicts.

Orchestrate a unified pipeline of five code quality gates—static analysis with linters/formatters, test coverage checks (>=80% thresholds), security scans for secrets/CVEs/OWASP, complexity metrics, and dependency audits—across JS/TS, Python, Go, Rust projects. Generate scored reports, gap analyses, refactor suggestions, and auto-apply fixes for issues.

Audit your repository for compliance with 7 development standards like avoiding TypeScript any/as, setting up CI with GitHub Actions, local test environments via Docker Compose, conventional commits, pinned dependencies, comprehensive tests with Jest, and pre-commit hooks with ESLint/Prettier; generate reports via /dev-standards and auto-fix issues with --fix.

Run ESLint, Prettier, and Jest/Vitest in one step to enforce JavaScript quality checks with zero errors and 90%+ coverage targets.

Enforce TypeScript code quality and test coverage with strict thresholds by running tsc, ESLint, Prettier, and Jest/Vitest in one command.